Senior Data Analyst — Quality & EHS Insights

Integrated Flow Systems LLC; Lapu-Lapu; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Ultra Clean Technology in Cebu seeks a Sr. Data Analyst to drive data-driven quality and EHS insights across the organization. You will collect, analyze, and interpret data related to product quality and safety, identifying trends and providing actionable recommendations.

Expect to design dashboards in Power BI, collaborate with cross-functional teams, and apply predictive analytics to forecast issues while ensuring seamless data sharing via SharePoint.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Industrial Engineering, or related field.
• At least 3 years of relevant data analytics experience; quality assurance background a plus.
• Expert proficiency in Microsoft Power BI and SharePoint for analytics and enterprise reporting.
• Strong analytical, communication, and presentation skills.

Responsibilities

• Collect, clean, and analyze data from multiple sources to identify quality and EHS trends.
• Develop dashboards and metrics to monitor Quality and EHS indicators.
• Apply advanced analytics and predictive modeling to forecast potential quality issues.
• Prepare executive summaries and present findings to stakeholders.
• Lead cross-functional reviews and drive corrective actions.

Skills

Power BI

SharePoint

Data analysis

Statistical modelling

Predictive analytics

Data visualization

Project management

Education

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Bachelor's degree in Computer Science

Bachelor's degree in Industrial Engineering

Tools

Microsoft Power BI

SharePoint

Job description

Ultra Clean Technology in Cebu seeks a Sr. Data Analyst to drive data-driven quality and EHS insights across the organization. You will collect, analyze, and interpret data related to product quality and safety, identifying trends and providing actionable recommendations.

Expect to design dashboards in Power BI, collaborate with cross-functional teams, and apply predictive analytics to forecast issues while ensuring seamless data sharing via SharePoint.